class_docstr: A csv data provider.
docstr: Returns feature columns.
docstr_tok: ["Returns","feature","columns","."]
code: def get_feature_columns(self):
      """Returns feature columns."""
      feature_columns = [
          tf.feature_column.numeric_column(
              key="image",
              shape=(self._image_height, self._image_width, 3),
          )
      ]
      return feature_columns
  
file_path: model_search/model_search/data/image_data_for_binary.py
imports: from absl import flags
  from model_search.data import data
  import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling the Provider obj's underlying member method code with example usage: obj.get_feature_columns() and returns: feature_columns